Mining Clickthrough Data - PowerPoint PPT Presentation

1 / 20
About This Presentation
Title:

Mining Clickthrough Data

Description:

Mining Web Query Hierarchies from Clickthrough Data. 8. Intuitions ... Learning Semantic Relations from Clickthrough Data for Query Suggestion. 14. Queries ... – PowerPoint PPT presentation

Number of Views:46
Avg rating:3.0/5.0
Slides: 21
Provided by: cseCu
Category:

less

Transcript and Presenter's Notes

Title: Mining Clickthrough Data


1
Mining Clickthrough Data
  • Hao Ma
  • Mar 11, 2008
  • Definition
  • Hot research topics
  • Query Hierarchy Building
  • Query Suggestion

2
What is Clickthrough Data
  • Query logs recorded by search engines

3
(No Transcript)
4
Research Topics
  • Improving Web search ranking E. Agichtein SIGIR
    2006
  • Users can help indicate most relevant results

5
Research Topics
  • Organize Search Results
  • X. Wang, C. Zhai SIGIR 2007
  • Web page summarization
  • J.T. Sun, D. Shen, H.-J. Zeng, et. al SIGIR
    2005
  • Query Clustering
  • D. Beeferman, A. L. Berger KDD 2000
  • J.-R. We, J.-Y. Nie, H. Zhang ACM TOIS 2002
  • Extraction of class attributes
  • M. Pasca, B. V. Durme IJCAI 2007

6
  • Mining Web Query Hierarchies from Clickthrough
    Data
  • D. Shen, M. Qin, W. Chen,
  • Q. Yang, Z. Chen AAAI 2007

7
Mining Web Query Hierarchies from Clickthrough
Data
8
Intuitions
  • If two queries are related to each other, they
    should share some of the same or similar clicked
    Web pages
  • For two queries qi and qj , qi is qj s parent if
    most of the clicked pages of qj have similar
    pages to the clicked pages of qi while only part
    of the clicked pages of qi have similar pages to
    the clicked pages of qj
  • If a query is specific, the contents of its
    clicked pages are relatively consistent, compared
    to a general query.

9
Definitions
  • Relative Coverage (RC)
  • Specificity (Spec)

10
Criterion
11
(No Transcript)
12
Demo
13
  • Learning Semantic Relations from Clickthrough
    Data for Query Suggestion

14
Given a query q, start the Similarity
Propagation Process
15
Similarity Propagation Model
16
Query Suggestion
17
(No Transcript)
18
(No Transcript)
19
Demo
20
Future
  • Event Detection
  • Temporal Application
  • Computational Linguistics
  • Personalization
  • Query Answering Search
  • Pay For Performance Advertising
Write a Comment
User Comments (0)
About PowerShow.com